fix-issue
Pass
Audited by Gen Agent Trust Hub on Jul 14, 2026
Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [PROMPT_INJECTION]: The skill processes untrusted data from GitHub issue comments via
gh issue view --comments, which introduces a surface for indirect prompt injection. Malicious instructions placed in comments could potentially influence the agent's actions during the fix implementation.- Ingestion points: External content from GitHub issue comments and descriptions retrieved in
SKILL.md. - Boundary markers: Absent; there are no instructions to the agent to distinguish between its system instructions and the untrusted data fetched from comments.
- Capability inventory: The skill allows the agent to execute sensitive operations such as
terraform plan,git push, and repository-specific scripts likescripts/destroy.shandscripts/render_harness.py. - Sanitization: Absent; the skill does not implement filtering or validation of the fetched comment content.
- Ingestion points: External content from GitHub issue comments and descriptions retrieved in
- [COMMAND_EXECUTION]: The skill uses various command-line utilities and scripts to perform its tasks.
- Tool usage: Standard development tools including
gh,terraform,git, andripgrepare used for project maintenance. - Local scripts: Several project-specific scripts such as
scripts/render_harness.py,scripts/contract_negative_tests.py, andscripts/destroy.share executed as part of the validation and cleanup process. - AI Assistants: The skill utilizes
codexandgeminiCLI tools for reasoning and codebase analysis, which is appropriate for its intended use case.
- Tool usage: Standard development tools including
Audit Metadata